Machine Learning for Cybersecurity

Language: English

Published by Springer International Publishing AG, CH, 2022

303115892X / 9783031158926

Series: Book 14 of 103 - SpringerBriefs in Computer Science

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This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.By implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior. The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effectiveAdvanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.

Seller Inventory # LU-9783031158926

Title
Machine Learning for Cybersecurity
Author
Marwan Omar
Publisher
Springer International Publishing AG, CH
Publication year
2022
Condition
New
Binding
Paperback
Language
English
ISBN 10
303115892X
ISBN 13
9783031158926
Edition
1st ed. 2022.
Series
Book 14 of 103: SpringerBriefs in Computer Science

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